Currently, numerous studies highlight the importance of technology as an effective resource for improving the quality of education. Like other countries in the region, Mexico greatly emphasizes improving its education system comprehensively and competitively, and technology has become a fundamental strategy to achieve this goal. Technology has allowed it to fill existing gaps and introduce innovative models in the digital age, promoting human capital development and fostering thriving communities. Technology also facilitates the development of competencies, such as complex thinking and the skills required to utilize Education 4.0 resources. However, these advances are at risk without examining the possibilities for technology transfer in the region's educational institutions. Accordingly, the following questions arise: a) What is the probability of achieving technology transfer to primary education institutions; b) What investments or modifications are necessary in the existing infrastructure to transfer educational and other technologies? We aimed to develop a quantitative data analysis model to examine the capacity of primary education institutions, applicable also to higher education, to adapt, assimilate, and transfer technology to improve educational quality in Mexico, as proposed by González Sabater in 2011. The results suggest the feasibility of a technology management system validated through a reliable database, considering the existing infrastructure as a basis for technology transfer. This research is relevant in establishing the probability of success of an educational institution in completing the process of assimilation and technology transfer, thus also contributing to governmental decision-making on educational spending.

目前，大量研究强调了技术作为提高教育质量的有效资源的重要性。与该地区其他国家一样，墨西哥非常重视全面提高教育体系的竞争力，而技术已成为实现这一目标的根本战略。技术使其能够填补现有空白并在数字时代引入创新模式，促进人力资本开发并培育繁荣的社区。技术还促进能力的发展，例如复杂思维和利用教育 4.0 资源所需的技能。然而，如果不研究该地区教育机构技术转让的可能性，这些进步就会面临风险。因此，出现以下问题：a) 向初等教育机构实现技术转让的可能性有多大；b) 现有基础设施需要进行哪些投资或改造才能转让教育和其他技术？正如 González Sabater 在 2011 年提出的那样，我们的目标是开发一个定量数据分析模型，以检验初等教育机构适应、吸收和转让技术以提高墨西哥教育质量的能力，该模型也适用于高等教育。结果表明通过可靠的数据库验证技术管理系统的可行性，并将现有基础设施视为技术转让的基础。这项研究与确定教育机构成功完成同化和技术转让过程的概率相关，